Q-PSP Learning: An Exploitation-Oriented Q-Learning Algorithm and Its Applications

Author:

HORIUCHI Tadashi,FUJINO Akinori,KATAI Osamu,SAWARAGI Tetsuo

Publisher

The Society of Instrument and Control Engineers

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Characteristics Verification of the Luggage Transportation Problem Using Relative Vectors in Multi-agent Reinforcement Learning;Communications in Computer and Information Science;2023-10-30

2. Verifying the differences of the action selections for the action planning problem of AGVs by applying the reinforcement learning;2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS);2022-11-29

3. The Advance of Reinforcement Learning and Deep Reinforcement Learning;2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA);2022-02-25

4. Experimental Study on Behavior Acquisition of Mobile Robot by Deep Q-Network;Journal of Advanced Computational Intelligence and Intelligent Informatics;2017-09-20

5. Finding the Shortest Course of a Ship Based on Reinforcement Learning Algorithm;The Journal of Japan Institute of Navigation;2004

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3